Triple
T3267396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabtec |
E68558
|
entity |
| Predicate | hasBuilt |
P46984
|
FINISHED |
| Object | luxury hotels |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: luxury hotels | Statement: [Arabtec, hasBuilt, luxury hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuilt Context triple: [Arabtec, hasBuilt, luxury hotels]
-
A.
hasBuiltEnvironment
Indicates that an entity possesses, contains, or is associated with human-made physical structures or infrastructure in its environment.
-
B.
hasConstruction
Indicates that one entity possesses, contains, or is characterized by a particular construction, structure, or built form associated with it.
-
C.
hasBuildingForm
Indicates that an entity possesses or is characterized by a particular architectural or structural building form.
-
D.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
E.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafce46dc8190a157e4f5012baed5 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.